Zobrazeno 1 - 10
of 330
pro vyhledávání: '"Seungjin Choi"'
Autor:
Balasubramanian Rukmanikrishnan, Chaehyun Jo, Seungjin Choi, Srinivasan Ramalingam, Jaewoong Lee
Publikováno v:
ACS Omega, Vol 5, Iss 44, Pp 28767-28775 (2020)
Externí odkaz:
https://doaj.org/article/8b082beab10c40c1bf7759372c00e503
Publikováno v:
IEEE Access, Vol 8, Pp 153341-153352 (2020)
Deep learning models are applied in clinical research in order to diagnose disease. However, diagnosing autism spectrum disorders (ASD) remains challenging due to its complex psychiatric symptoms as well as a generally insufficient amount of neurobio
Externí odkaz:
https://doaj.org/article/a36ea72c4d7f4c549dd52edf33978298
Publikováno v:
Entropy, Vol 24, Iss 4, p 501 (2022)
For high-dimensional data such as images, learning an encoder that can output a compact yet informative representation is a key task on its own, in addition to facilitating subsequent processing of data. We present a model that produces discrete info
Externí odkaz:
https://doaj.org/article/6e80c1b35b2f4b5fa42f31f1d463db96
Autor:
Bonkon Koo, Chin Su Koh, Hae-Yong Park, Hwan-Gon Lee, Jin Woo Chang, Seungjin Choi, Hyung-Cheul Shin
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
Abstract Here, we report that the development of a brain-to-brain interface (BBI) system that enables a human user to manipulate rat movement without any previous training. In our model, the remotely-guided rats (known as ratbots) successfully naviga
Externí odkaz:
https://doaj.org/article/6b96bdb942574228aae6cc0fab0d8fb0
Publikováno v:
IEEE Access, Vol 5, Pp 11269-11277 (2017)
In the modern days of Big Data, the curation of data has become more and more important, especially for handling high volume and complex data systems. With data volumes growing exponentially, along with the increasing variety and heterogeneity of dat
Externí odkaz:
https://doaj.org/article/87585c9baf404000a70596a31ae65b92
Autor:
Seungjin Choi, Kijun Lee, Hyerin Jung, Narae Park, Jaewoo Kang, Ki-Hoan Nam, Eun-Kyeong Kim, Ji Hyeon Ju, Kwi Young Kang
Publikováno v:
Frontiers in Immunology, Vol 9 (2018)
Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes mild to severe joint inflammation. During RA pathogenesis, fibroblast-like synoviocytes (FLS) acquire a tumor-like phenotype and mediate cartilage destruction both directly and ind
Externí odkaz:
https://doaj.org/article/59fbcda700974bc789000d1937d30f58
Publikováno v:
PLoS ONE, Vol 4, Iss 9, p e6911 (2009)
The comprehensive identification of functional transcription factor binding sites (TFBSs) is an important step in understanding complex transcriptional regulatory networks. This study presents a motif-based comparative approach, STAT-Finder, for iden
Externí odkaz:
https://doaj.org/article/dfd1c068c0604a3186e6ace05cc54d42
Autor:
Seungjin Choi
Publikováno v:
International Journal of Manpower, 2016, Vol. 37, Issue 5, pp. 900-916.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-12-2014-0250
Autor:
Hyohyeong Kang, Seungjin Choi
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:970-976
Common spatial patterns (CSP) is a popular feature extraction method for discriminating between positive andnegative classes in electroencephalography (EEG) data.Two probabilistic models for CSP were recently developed: probabilistic CSP (PCSP), whic
Autor:
Jaewoong Lee, Balasubramanian Rukmanikrishnan, Chaehyun Jo, Srinivasan Ramalingam, Seungjin Choi
Publikováno v:
ACS Omega, Vol 5, Iss 44, Pp 28767-28775 (2020)
ACS Omega
ACS Omega
Gellan gum–sodium carboxymethyl cellulose (GC)-based composite films with various concentrations of silicon dioxide (SiO2) nanoparticles and octadecyldimethyl-(3-triethoxy silylpropyl)ammonium chloride (ODDMAC) were successfully prepared by the tra